What happens when someone who spent years studying broken institutions decides to help build the next generation of them?

Tiffany Wang trained as a corporate lawyer, moved into risk assurance and fraud investigation at PwC, and then made the jump to FLock.io — a federated AI company building the infrastructure for private, decentralized model training. Her whole career has been defined by one question: why do institutions say one thing on paper and operate completely differently underneath?

In this episode, we get into her path from law firm to Big Four to AI startup, what federated learning actually means and why it matters for governments and sensitive sectors, and how FLock is working with UNDP to build climate resilience tools and micro-insurance platforms for unbanked communities in the Dominican Republic and Peru. We also dig into the Mauritius healthcare project, the work happening with the state of Sarawak in Malaysia on sovereign AI, and what trust actually looks like when you build it into the architecture instead of just promising it.

Tiffany is also candid about what she learned about trust the hard way — from writing legal contracts designed to exploit ambiguity, to realizing words alone are never enough. Trust needs to be tested in difficult times, not comfortable ones.

This one covers a lot of ground. If you work in government, healthcare, climate resilience, or you're just trying to understand where AI governance is actually heading — worth your time.

Connect with Tiffany Wang:LinkedIn: https://www.linkedin.com/in/tiffany-wang-91a3ab13a

FLock.io: https://flock.ioX

Twitter: @flock_io

Subscribe & follow The Future of Trust:Spotify - https://open.spotify.com/show/6zQ2p7k8q7OAuxqJElQjjh?si=35045c6c6b264f55

Apple Podcasts - https://podcasts.apple.com/us/podcast/the-future-of-trust-with-mat-yarger/id1792163372

Youtube - https://www.youtube.com/@DemiaOfficial

00:00 Introduction

02:00 Meet Tiffany Wang — Lawyer, Risk Investigator, AI Builder

03:00 Why she became a lawyer (and why debates shaped her more than law school)

05:30 What was missing in corporate law — the gap between paper and impact

07:10 The PwC pivot — getting closer to business, finding the same problem

10:20 Joining FLock — why it took three weeks and a regret calculus to say yes

12:40 What startup culture actually looks like vs. Big Four

15:40 Trail running, sacrifice, and how Tiffany thinks about hard things

18:15 Growing up between a risk-averse mom and an open-minded dad

23:00 Dating across cultures and how Tiffany learned to negotiate disagreement

31:25 The recurring question: when was your trust broken or strengthened?

33:00 What legal work taught her about the weaponization of language

35:30 Why she no longer gives 100% trust based on words alone

39:30 The gradual pivot — why there was no single turning point

44:50 What does FLock actually do? Explaining it from the ground up

47:00 Federated learning vs. traditional machine learning — the key difference

51:20 Who FLock is actually for (and who it isn't)

55:00 Working with UNDP — micro-insurance for unbanked women in Latin America

01:01:30 Puerto Rico, climate disasters, and why speed of response matters

01:04:00 Where does trust actually live in a decentralized system?

01:05:00 The verification layer — on-chain, auditable, no black box

01:07:30 Open source, community accountability, and why no one person holds the keys

01:10:00 FLock's healthcare project with the Mauritius government

01:12:00 The 10-year vision — AI tools people can use without fear

01:13:30 Sovereign AI and the work in Sarawak, Malaysia

01:16:00 Why education has to come before adoption

01:18:30 Closing — being known well vs. being well-known

01:21:00 How to connect with Tiffany and follow FLock

What happens when the data looks right, but you still can't trust it?

Matt Ober didn't walk through a polished front door into finance. He answered phones at Bloomberg, landed a hedge fund role through Craigslist, and built one of the world's most aggressive alternative data programs at WorldQuant, a quantitative hedge fund inside Millennium Partners that was testing thousands of new datasets a month and spending over $100 million to stay ahead of the signal.

In this episode of The Future of Trust, host Mat Yarger sits down with Matt Ober, Managing Partner at Social Leverage and former data strategist at Third Point, for a candid conversation about what it really means to trust information, trust founders, and trust yourself when the stakes are high, and the answers aren't clean.

Matt shares how he built trust frameworks not from theory, but from experience, watching convincing data collapse out-of-sample, witnessing activist investment battles at Third Point (Campbell Soup, Sony, Nestle), and being the investor founders call when things are going wrong.

This is a must-listen for founders, investors, data professionals, and anyone navigating decisions where the signal is loud and certainty is low.

IN THIS EPISODE:

• How growing up as the oldest of five shaped Matt's instinct for responsibility and trust

• Why answering phones at Bloomberg was the best preparation for working inside a hedge fund

• How Matt found his WorldQuant role on Craigslist, and what that says about unconventional paths

• The difference between data that looks convincing and data you can actually trade on

• What "trust but verify" really means when you're testing thousands of datasets a month

• Why activist investing is really about conviction, not confrontation

• The single most repeated trust problem Matt sees in early-stage founders

• How AI is changing the revenue-per-headcount benchmark, and what 3x-10x actually looks like

• What Social Leverage looks for when deciding to stay close to a founder long-term

CONNECT WITH MATT OBER:

• Social Leverage: http://www.socialleverage.com

• Newsletter: https//www.mattober.co

• LinkedIn: https://www.linkedin.com/in/obermattj/

CONNECT WITH THE FUTURE OF TRUST:

• Subscribe so you never miss an episode

• Leave a review, it helps new listeners find us

• Tag someone who needs to hear this conversation

• Email us if you’d like to be a guest on the podcast - [email protected]

Trust does not break all at once. For some people, it cracks early, quietly, and permanently reshapes how they move through the world. Oscar Hedaya learned that lesson young.

He grew up in New Jersey in a community that looked stable from the outside. Inside his home, things changed fast. Money disappeared. Certainty disappeared. But what stayed, was responsibility. Oscar started working at twelve, fixing spreadsheets for adults. At fifteen, he took a business owner to court because he wasn’t paid, and there was no one else to fight that battle for him.

That experience did not make him cynical. It made him precise.

In our first conversation, Oscar said something that stuck with me. When you grow up without money, the only thing you really have is your word. Your name becomes your currency. Lose it, and there is nothing left to fall back on.

That belief shows up everywhere in how he operates today.

Oscar is the founder of The Safe Space, a smart safe designed around a simple idea. People should not have to blindly trust companies, platforms, or institutions to feel secure. Ownership should be clear. Access should be earned. And systems should be built to protect users even when pressure shows up.

He refuses to build in backdoor access. He designs for misuse, not best-case behavior. And he treats reputation as something you defend over decades, not something you trade for short-term wins.

This episode is not about hardware specs or features. It is about what happens when someone who learned trust the hard way decides to encode that worldview into a system that other people rely on.

We talk about early environments, personal lines he will not cross, and what it actually takes to build something people can depend on when it matters.

Chapters:

0:00 – Introduction

02:10 – Growing Up in a Stable World That Wasn’t

08:45 – The Moment Trust Broke

15:20 – When Your Name Is Your Only Currency

21:30 – Wired to Build, Not Just Get By

28:10 – “My Company Is Me”

34:40 – The Theft That Sparked the Idea

40:25 – No Backdoors, No Blind Faith

46:50 – The 100-Out-of-100 Rule

52:30 – Looking Ahead

56:30 – Being Known Well

Trust rarely breaks loudly. Most of the time, it erodes quietly, one small doubt at a time. A number that feels off. A recommendation that does not quite match reality. A system that is technically correct, but still ignored.

Richard Savoie has spent his career sitting right inside that tension.

He started in regulated medical devices, where mistakes can have dire consequences and trust is not optional. In that world, data has lineage, accountability is clear, and failure forces learning. Later, he moved into logistics and transportation, a very different environment, but one facing its own quiet crisis. Labor shortages. Rising complexity. Pressure to automate faster than people are ready to trust the systems doing the work.

In this first conversation, Richard shares that his focus on trust does not come only from engineering. It comes from experience. A long professional relationship ended when trust was broken in a way that forced him to rethink how people protect themselves, how they recover, and how they decide who or what deserves their confidence going forward.

Today, Richard builds digital twins of logistics networks that help fleets decide how to move, when to electrify, and where automation fits. These systems recommend actions to streamline our orders with UPS, FedEx, Amazon, and more. That is where trust becomes real: if the operators on the ground do not believe the data or the actions they're recommended, they stop listening. If they cannot explain a decision, they override it. So if accountability is unclear, adoption stalls.

This episode is about the human threshold where trust either forms or fails. We talk about early environments and how they shape responsibility. We talk about why people trust Google Maps without thinking, and why enterprise systems still struggle to earn that same confidence. And we explore what happens next as AI, EVs, and autonomous systems move from experiments into everyday infrastructure.

Chapters:

00:00 – Introduction:  Trust Breaks Quietly

03:30 – Childhood, Broken Homes, and Early Trust

10:45 – Moving to Australia and Building a Life

16:00 – When Trust Is Actively Broken

22:30 – Reliability, Systems, and the Light Bulb Cartel

26:30 – Medical Devices and Designing for Certainty

32:30 – Leaving Healthcare and Starting Adiona

37:00 – COVID and the Scaling Moment

43:30 – Why Operators Ignore “Correct” Systems

51:00 – AI, Probabilistic Systems, and the Limits of Certainty

57:30 – Energy Grids, Electrification, and Profit Optimization

1:00:00 – Autonomous Delivery and the Last Meter Problem

1:12:00 – Being Known Well

In this episode, we sit down with Amy, Co-Founder and CEO of Facet Power, and a leading voice in the next generation of climate infrastructure.

Amy’s work sits at the intersection of energy, agriculture, and natural capital. From transforming biomass waste into energy and biochar, to building long-term joint ventures with local partners across Africa and beyond, she approaches climate not as a single problem to solve, but as a system to design. As a founder and leader of the U.S. Biochar Coalition, she has also been pushing for standards and policy that support industrial-scale carbon removal, not just pilots and promises.

Our conversation explores the growing gap between institutional investors who say they want climate exposure and the limited number of projects that actually meet their requirements for risk, data, and trust. We discuss what changes when environmental harm is treated as a financial risk, how traceability and life cycle analysis reshape climate finance, and what it really means to build trust between capital and communities.

This episode is about making climate finance feel investable, grounded, and real.

If you enjoy the episode, don’t forget to subscribe and leave a review.

In this episode, we sit down with Andy Ellwood, Founder and CEO of Stretch, entrepreneur and technologist building at the intersection of money, data, and everyday decision-making, to explore how trust shows up in one of the most ordinary and consequential parts of life: grocery shopping.

Andy’s perspective on trust was shaped early, growing up in a household where a single grocery trip had to last an entire month. Those checkout lines became lessons in math, tradeoffs, and accountability – lessons that stayed with him as his career moved from selling private jets to helping build early-stage companies like Gowalla and Waze.

The conversation traces Andy’s journey from founding Basket, a crowdsourced grocery pricing app that exposed how dramatically prices can vary within the same city, to his current work at Stretch, where AI and structured data are being used to give families a clearer picture of what their weekly shopping should cost.

Along the way, we explore trust and transparency in everyday systems, how invisible incentives shape consumer behavior, why price opacity persists, and what it means to design technology that genuinely serves families rather than exploits confusion.

If you enjoy the episode, don’t forget to subscribe and leave a review.

In this episode, we sit down with Monique Jeanne Marrow, technology strategist, startup advisor, and advocate for ethical innovation, to explore how trust shapes the digital age. Drawing from her work with refugees, homelessness, and blockchain governance, Monique shares how technology can serve people, not just systems.

We dive into decentralized networks, the critical role of security and ethical design in AI and Web3, and the human side of innovation – leadership, vulnerability, and values-driven decision making. Monique reflects on embedding trust across fields – from digital identity to cyber psychology and the ethics of extended reality. Through stories of integration, resilience, and innovation, we learn how empathy, foresight, and careful governance can create technology that endures and empowers.

If you enjoy the episode, don’t forget to subscribe and leave a review.

In this episode, we sit down with Ceren Zeytinoglu of the Turkish Informatics Foundation, a strategist building bridges between AI researchers and climate innovators to strengthen global resilience. Drawing on her work co-creating the Global AI Alliance for Climate Action, Ceren shares how she connects Canada’s AI expertise with frontline climate needs across Istanbul, the EU, and Kyrgyzstan.

From developing early-warning systems for floods in the Third Pole to designing AI-powered microgrids, Ceren’s work demonstrates how research can move from lab to community. Along the way, she explores the practical challenges of aligning technology, policy, and human behavior, highlighting the need for explicit intent, presence, and adaptable solutions when systems are messy or resources are limited.

The conversation delves into how trust is built in practice, the alliances that make climate AI effective, and the playbook for taking innovations from prototype to deployment. If you enjoy the episode, don’t forget to subscribe and leave a review.

In this episode, Adam Flinter joins Mat to explore how trust shapes the worlds of venture, scale-ups, and cross-regional growth. Adam’s journey from BBC journalism to advising governments, VCs, and founders across the UK, the Gulf, and Southeast Asia gives him a rare perspective on how trust is formed long before deals are signed.
They discuss what founders often overlook when approaching different types of investors, why relationship-driven markets operate differently from transactional ones, and how defining an exit early can guide every upstream decision. The conversation also examines major trust failures – from FTX to eFishery – and what these moments reveal about fragility, accountability, and the slow rebuilding that follows.

If you enjoy the episode, don’t forget to subscribe and leave a review.

In this episode, we sit down with Gabriela Chang, co-founder of EthicHub, a blockchain-based platform connecting unbanked coffee farmers to global finance. Her journey from industrial designer to impact entrepreneur reveals how creativity can become a tool for inclusion and resilience.

Born in Chiapas, Mexico – a region rich in both biodiversity and cultural roots – Gabriela grew up believing that diversity and trust go hand in hand. That belief now drives her mission to redesign financial systems for those left out of them.

Together, Gabriela and Mat explore how trust can be measured, why transparency outperforms credit scores, and how farmers producing 80% of the world’s coffee can lead the next generation of sustainable finance. The conversation also touches on biodiversity, community resilience, and the possibility of a more responsible capitalism.

If you enjoy the episode, don’t forget to subscribe and leave a review.